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Mining Engineer Intern information

What does a mining engineer intern do?

A Mining Engineer Intern assists professional mining engineers with the planning, design, and operation of mines. Typical duties include collecting and analyzing geological data, assisting with mine planning and safety assessments, and supporting environmental compliance efforts. Interns often work on-site to gain hands-on experience with surveying, equipment monitoring, and process optimization. The role provides exposure to both fieldwork and office-based tasks, helping interns apply classroom knowledge to real-world mining challenges.

What skills and qualifications are needed to thrive as a mining engineer intern?

To thrive as a Mining Engineer Intern, you need a solid understanding of mining engineering principles, geology, and safety standards, typically supported by progress toward a relevant engineering degree. Familiarity with technical tools such as CAD software, mine planning systems, and GIS mapping is often required. Strong analytical thinking, problem-solving abilities, teamwork, and effective communication are essential soft skills for success in this role. These skills and qualities are crucial for ensuring safe, efficient mining operations and effective collaboration within multidisciplinary teams.

What types of projects and tasks can a mining engineer intern expect to work on during their internship?

As a Mining Engineer Intern, you can expect to be involved in a variety of hands-on and analytical projects, such as assisting with mine design, conducting site surveys, supporting safety assessments, and analyzing production data. Interns often collaborate closely with senior engineers, geologists, and environmental specialists, gaining exposure to both fieldwork and office-based planning. This role provides a unique opportunity to apply classroom knowledge in real-world settings, learn industry-standard software, and develop problem-solving skills crucial for a future engineering career.

What is the difference between Mining Engineer Intern vs Mining Engineer?

AspectMining Engineer InternMining Engineer
Required CredentialsTypically pursuing a bachelor's degree in mining engineering or related field; internship or co-op experienceBachelor's degree in mining engineering; professional licensure may be required for certain roles
Work EnvironmentSupervised, entry-level environment often on-site at mining locations or officesFull-time, professional role on-site or office-based, overseeing mining operations
Employer & Industry UsageInternships offered by mining companies, engineering firms, or universitiesMining companies, consulting firms, or government agencies

The main difference between a Mining Engineer Intern and a Mining Engineer is experience level and responsibility. Interns are in training, gaining practical experience, while Mining Engineers are fully responsible for planning, designing, and overseeing mining operations.

What are the most commonly searched types of Mining Engineer jobs in California?

The most popular types of Mining Engineer jobs in California are:

What are popular job titles related to Mining Engineer Intern jobs in California?

For Mining Engineer Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Mining Engineer Intern jobs in California look for?

The top searched job categories for Mining Engineer Intern jobs in California are:

What cities in California are hiring for Mining Engineer Intern jobs?

Cities in California with the most Mining Engineer Intern job openings:

Mining Engineer Intern jobs near you
Infographic showing various Mining Engineer Intern job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)

Zoox

Foster City, CA

$30/hr

Contractor

Posted 15 days ago

Job description

About Zoox

Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.

About Our Part-Time Student Worker Program

Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.

Role Overview

Support Zoox's Rules of the Road (RotR) program, where a miner + LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events, help develop and evaluate the VLM triagers - curating golden datasets, measuring precision/recall against expert triage, and extending automation to new regulations and data sources. 

Responsibilities
  • Develop and iterate data miners locating potential RotR Violations following SSO requirements
  • Develop and iterate on VLM/LLM workflows and pipelines for classifying RotR events
  • Curate golden datasets and evaluate triager precision/recall against human triage
Required Qualifications
  • Extend triagers from simulation to fleet/service data
  • Strong Python / Pyspark / SQL skills
  • Coursework in machine learning, computer vision, or NLP. Understanding of supervised learning, model evaluation, and common sources of dataset bias and label noise.
  • Analyze error cases and translate findings into pipeline improvements
  • Hands-on experience building production LLM/VLM applications, including agentic workflows, RAG, tool calling, evaluation, and/or fine-tuning.
  • Familiarity with software-engineering practices such as Git, unit testing, debugging, and code reviews.
Bonus Qualifications
  • Strong Scala skills.
  • Experience with Spark optimization and distributed data-processing systems.
  • Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.
Program Requirements
  • Experience evaluating multimodal or vision-language models.
  • Currently enrolled in a B.S. or M.S. program in a relevant discipline.
  • Experience with prompt optimization, model fine-tuning, or human-in-the-loop ML systems.
  • Available to commit to a minimum three-month assignment.
  • Able to commit a minimum of 40 hours per week.
  • Able to work on-site at one of our office locations.
  • Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations.
We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment.
 
Compensation for this role is $30/hour.
 
This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor.

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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